class_docstr: Generic class to create the tensorflow graphs for 'ner_dl', 'generic_classifier', 'assertion_dl', 'relation_extraction' annotators in spark-nlp healthcare. In version 1.1
  Examples
  --------
  >>> from sparknlp.training.tfgraphs import tf_graph
  >>>
  >>> tf_graph.get_models()
code: def __init__(self, build_params):
      self.__build_params = build_params
  
imports: import os
  import re
  from sparknlp.internal import _ResourceHelper_moveFile
  from sparknlp.training._tf_graph_builders.ner_dl.create_graph import create_graph
label_desc: Use image node_id 9 to create a new TFGraphBuilder object  with example: obj = TFGraphBuilder(build_params)